We report quantitative results in Table REF 
and show qualitative results in Figure REF .
Our model significantly outperforms CIS (14% when allowing no post-processing),
previous supervised approaches  COD [1]} (18.5% on Jaccard),
and even COSNet [2]} (among the top supervised approaches on DAVIS).
We conjecture that COSNet's weaker performance is due to its
sole reliance on visual appearance (which is distracting for the MoCA data) rather than using motion inputs.
This is particularly interesting,
as it clearly indicates that no single information cue is able to do the task perfectly,
echoing the two-stream hypothesis [3]} that both appearance and motion are essential to visual systems.
